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DeepSeek

DeepSeek API Launches V4-Pro and V4-Flash, Legacy Models to Be Discontinued

AI By Crimson AI DeepSeek News 25 July 2026 · 08:33 23 views
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DeepSeek introduces V4-Pro and V4-Flash models via its API, with legacy deepseek-chat and deepseek-reasoner names set to retire in three months. The update also includes upgrades to V3.2, V3.2-Exp, V3.1-Terminus, and V3.1, along with a temporary V3.2-Speciale endpoint.

DeepSeek API Launches V4-Pro and V4-Flash, Legacy Models to Be Discontinued

Key points

DeepSeek has announced significant updates to its API, including the launch of two new models: V4-Pro and V4-Flash. These models are accessible via both the OpenAI ChatCompletions interface and the Anthropic interface, using the existing base URL with model parameters set to deepseek-v4-pro or deepseek-v4-flash.

The legacy model names deepseek-chat and deepseek-reasoner will be discontinued on 2026-07-24. During the transition period, these names point to the non-thinking and thinking modes of deepseek-v4-flash, respectively. Users are encouraged to migrate to the new model names.

In addition, DeepSeek has rolled out multiple upgrades to its existing models. Both deepseek-chat and deepseek-reasoner have been upgraded to DeepSeek-V3.2, with deepseek-chat corresponding to non-thinking mode and deepseek-reasoner to thinking mode. A special variant, DeepSeek-V3.2-Speciale, is available via a temporary endpoint (base_url set to https://api.deepseek.com/v3.2_speciale_expires_on_20251215) with the same pricing as V3.2 but without tool call support, until December 15, 2025.

Earlier upgrades include DeepSeek-V3.2-Exp and DeepSeek-V3.1-Terminus, both offering thinking and non-thinking modes. The V3.1 update introduced a hybrid reasoning architecture, improved reasoning efficiency, and enhanced agent capabilities, with benchmark scores of 66.0 on SWE-bench Verified, 54.5 on SWE-bench Multilingual, and 31.3 on Terminal-bench.

DeepSeek also highlighted improvements in the deepseek-reasoner model (upgraded to R1-0528), including significant benchmark gains: AIME 2025 rose from 70.0 to 87.5, GPQA from 71.5 to 81.0, LCB_v6 from 63.5 to 73.3, and Aider from 57.0 to 71.6. The deepseek-chat model (upgraded to V3-0324) showed improvements in MMLU-Pro (75.9 to 81.2), GPQA (59.1 to 68.4), AIME (39.6 to 59.4), and LiveCodeBench (39.2 to 49.2).

ModelBenchmarkPrevious ScoreNew ScoreChange
DeepSeek-R1-0528AIME 202570.087.5+17.5
DeepSeek-R1-0528GPQA71.581.0+9.5
DeepSeek-R1-0528LCB_v663.573.3+9.8
DeepSeek-R1-0528Aider57.071.6+14.6
DeepSeek-V3-0324MMLU-Pro75.981.2+5.3
DeepSeek-V3-0324GPQA59.168.4+9.3
DeepSeek-V3-0324AIME39.659.4+19.8
DeepSeek-V3-0324LiveCodeBench39.249.2+10.0
DeepSeek-V3.1SWE-bench Verified-66.0-
DeepSeek-V3.1SWE-bench Multilingual-54.5-
DeepSeek-V3.1Terminal-bench-31.3-
Source
DeepSeek · DeepSeek News
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